Open Financial Data from the Macedonian Stock Exchange

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 311)


The concept of Open Data, which represents the idea that public data should be published in a machine-readable format, starts to take a significant role in modern society. Public data from various fields are being transformed in open data formats and published on systems which allow easier consumption from software agents and applications, as well as the users behind them. On the other hand, people in the business world are trying for a few decades now to establishing standards for financial accounting that govern the preparation of financial reports. Financial reporting has crucial significance for companies today, since it is a record of their work which is presented to their stakeholders and represents a starting point for future business decisions and strategies. In this paper, we use data from the Macedonian Stock Exchange and data from different web sites of Macedonian companies in order to create datasets of Open Financial Data relevant for our country, thus increasing the transparency and improving the data accessibility. We describe the process of transforming the data into 4 star Open Data, and present use-case scenarios which use data from our generated datasets and from the World Bank. The datasets are published and accessible via a SPARQL endpoint, and we demonstrate how a software application can make use of them.


Finances Open Data Macedonian Stock Exchange World Bank RDF Ontologies 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Cardoso, J., Pedrinaci, C., Leidig, T., Rupino, P., De Leenheer, P.: Open semantic service networks. In: International Symposium on Services Science (ISSS), Leipzig, Germany (2012)Google Scholar
  2. 2.
    Möller, K., Hausenblas, M., Cyganiak, R., Handschuh, S., Grimnes, G.: Learning from Linked Open Data Usage: Patterns & Metrics. In: Web Science Conference (WSC) (2010)Google Scholar
  3. 3.
    Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems (IJSWIS), 1–22 (2009)Google Scholar
  4. 4.
    Kundra, V.: Digital Fuel of the 21st Century: Innovation through Open Data and the Network Effect. Joan Shorenstein Center on the Press, Politics and Public Policy, Harvard College (2012)Google Scholar
  5. 5.
    Radzimski, M., Sánchez-Cervantes, J.L., Rodríguez-González, A., Gómez-Berbís, J.M., García-Crespo, A.: FLORA –Publishing Unstructured Financial Information in the Linked Open Data Cloud. In: First International Workshop on Finance and Economics on the Semantic Web (FEOSW) (2012)Google Scholar
  6. 6.
    Bjoraa, E.: Ontology guided financial knowledge extraction from semi-structured information sources. Master Thesis in Information and Communication Technology, Agder University Colledge, Grimstad (May 2003)Google Scholar
  7. 7.
    Jovanovik, M., Najdenov, B., Trajanov, D.: Linked Open Drug Data from the Health Insurance Fund of Macedonia. In: 10th International Conference for Informatics and Information Technology (2013)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Faculty of Computer Science and EngineeringSs. Cyril and Methodius UniversitySkopjeRepublic of Macedonia

Personalised recommendations